Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects

<p>Abstract</p> <p>Background</p> <p>Time-course gene expression data such as yeast cell cycle data may be periodically expressed. To cluster such data, currently used Fourier series approximations of periodic gene expressions have been found not to be sufficiently adeq...

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Bibliographic Details
Main Authors: Wang Kui, Ng Shu Kay, McLachlan Geoffrey J
Format: Article
Language:English
Published: BMC 2012-11-01
Series:BMC Bioinformatics
Subjects:
Time-course data
Mixtures of linear mixed models
Autoregressive random effects
EMMIX-WIRE procedure
Online Access:http://www.biomedcentral.com/1471-2105/13/300

Internet

http://www.biomedcentral.com/1471-2105/13/300

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